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Martinez, Brianna L.; Sweeder, Ryan D.; VandenPlas, Jessica R.; Herrington, Deborah G. – International Journal of STEM Education, 2021
Background: Engagement with particle-level simulations can help students visualize the motion and interactions of gas particles, thus helping them develop a more scientifically accurate mental model. Such engagement outside of class prior to formal instruction can help meet the needs of students from diverse backgrounds and provide instructors…
Descriptors: Chemistry, Scientific Concepts, Simulation, Visualization
Chen, Yi-Chun; Yang, Fang-Ying – International Journal of Science and Mathematics Education, 2014
There were two purposes in the study. One was to explore the cognitive activities during spatial problem solving and the other to probe the relationship between spatial ability and science concept learning. Twenty university students participated in the study. The Purdue Visualization of Rotations Test (PVRT) was used to assess the spatial…
Descriptors: Cognitive Ability, Spatial Ability, Problem Solving, Science Instruction
Stofer, Kathryn A. – ProQuest LLC, 2013
Data visualizations designed for academic scientists are not immediately meaningful to everyday scientists. Communicating between a specialized, expert audience and a general, novice public is non-trivial; it requires careful translation. However, more widely available visualization technologies and platforms, including new three-dimensional…
Descriptors: Visualization, Science Education, Oceanography, Data Interpretation
Hinze, Scott R.; Rapp, David N.; Williamson, Vickie M.; Shultz, Mary Jane; Deslongchamps, Ghislain; Williamson, Kenneth C. – Learning and Instruction, 2013
Students are frequently presented with novel visualizations introducing scientific concepts and processes normally unobservable to the naked eye. Despite being unfamiliar, students are expected to understand and employ the visualizations to solve problems. Domain experts exhibit more competency than novices when using complex visualizations, but…
Descriptors: Prior Learning, Individual Differences, Novices, Organic Chemistry
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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